Top AWS Jobs in Toronto

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Manage and scale hybrid build pipelines and multi-cloud infrastructure (GCP/Azure/AWS), administer databases (MongoDB, MySQL, PostgreSQL, Redis), support player authentication (Keycloak), and collaborate on networking, security, and live game delivery to ensure reliable releases across iOS, Android, and Steam.

Lead ownership, harden, and operate an AWS-native backend/platform: build APIs, event pipelines, data services, compliance features (audit logging, encryption, data lifecycle), deployment automation, testing/acceptance tooling, and shape architecture and engineering hiring.

Lead client-facing integrations and implementations for an AI-native, compliance-focused travel platform. Design, build, and operate backend services, event pipelines, and data services on AWS. Ensure auditability, encryption/key management, consent and data lifecycle handling, and translate client feedback into product improvements while shaping architecture and early hiring.

Full‑stack software development for Tempo flagship products: implement frontend and backend features, write tests, review code, design APIs, optimize performance and scalability, work with product, design, QA, and docs teams, and operate in a remote, collaborative environment using cloud and Kubernetes.

Develop server-side applications using Kotlin and Java, collaborate with teams to enhance Atlassian plugins, and ensure code quality through testing and reviews.

The Principal Technical Product Owner will lead the DoiT Partner Platform, driving strategy, execution, and mentoring product owners while leveraging expertise in cloud operations and billing systems.

Own and improve AWS infrastructure and platform services using IaC (Terraform/Terrateam). Support reliable cloud and Kubernetes deployments, enhance observability (metrics, logs, tracing), troubleshoot distributed systems, create standards and documentation, and partner with engineering teams on scalable, resilient design.

Design and implement a governed AWS data foundation: reference architecture, layered (medallion) data models, governance (PII, classification, lineage, residency), reusable engineering patterns for ingestion/transform/serve, loose coupling to operational systems, and occasionally build data products hands-on to accelerate delivery.

Lead and manage software and QA engineers to deliver cloud-managed video appliance software. Own release planning and execution, improve release processes and tooling, guide architecture and technical direction, coordinate cross-functionally, monitor device health in the field, and identify AI-driven automation opportunities within development workflows.

Own and optimize the Java OLAP cube engine (Atoti/ActivePivot-like), ensuring correctness and low-latency aggregation across large, complex financial models. Collaborate with .NET consumers, define service contracts, profile and tune JVM performance, resolve OLAP-specific defects, and deliver thorough unit and integration tests.

Lead end-to-end development of ODAIA's AI-powered commercial intelligence features. Build React/TypeScript frontends, design and operate backend APIs and services, integrate data/ML systems, drive architecture decisions, mentor engineers, and improve testing, observability, and code quality.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Senior technical lead responsible for governance, stability, security, and evolution of the SAP S/4HANA platform. Owns platform health, upgrades, lifecycle management, cloud/DR planning, vendor/stakeholder liaison, automation, performance tuning, and mentors junior Basis/security specialists to support finance and business operations.

Design, build, and maintain core data pipelines and models for Lyft's Safety and Customer Care platform. Scale processing, tune Spark/SQL/MapReduce jobs, implement data quality systems, enable self-service ETL tooling, and collaborate with product, engineering, and analytics teams to deliver reliable reporting and insights.

Lead a team to design, build, and operate large-scale data pipelines and warehouses, ensure data quality and SLAs, collaborate cross-functionally, leverage AI/LLM, and drive key data initiatives from planning to delivery.

Lead a business analytics team to deliver data-driven insights, KPIs, dashboards and AI-enabled solutions. Partner with stakeholders to define strategy, automate reporting, prototype AI use cases, and build scalable analytics products while ensuring data quality and governance.

Perform comprehensive manual penetration tests across web, API, mobile, internal/external networks, Active Directory, and cloud environments. Validate vulnerabilities, produce technical and executive reports, and work with clients on remediation and retesting.

Owner of cloud infrastructure and reliability for a cloud-native platform: design and maintain Azure/Terraform infrastructure, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and support migration from legacy .NET/MSSQL to modern services.

Lead product strategy and execution for Redis Cloud across enterprise, digital-native, and AI customers. Define requirements, manage product lifecycle, work with customers and cross-functional teams, and drive launches, adoption, and technical decisions related to cloud infrastructure, data platforms, and AI workloads.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

The Full Stack Engineer will develop and enhance a web-based dashboard platform, focusing on both frontend and backend systems, ensuring seamless data flow to AI models and clients. Responsibilities include creating user interfaces, RESTful APIs, secure data storage, and collaborating with teams on feature development.